UpvotePartners
B2B SaaS & software specialists

The B2B tech marketing agency built on Reddit

No buying committee shortlists a vendor from an ad. We get your product into the threads your evaluators actually read: the ones Google ranks on "best tool for" and the ones ChatGPT and Perplexity quote straight back. Peer recommendation, at scale.

🔥 Very limited spots

This is where your evaluators build the shortlist you never see

r/SaaSr/devopsr/sysadminr/mspr/ExperiencedDevsr/startupsr/cybersecurityr/Entrepreneur
The basics

What does a B2B tech marketing agency actually do?

A B2B tech marketing agency gets a software product in front of the people who evaluate it before anyone signs. In B2B software the shortlist is rarely built on your website. It is built in threads where practitioners compare tools they actually run in production.

Reddit hosts most of those threads. r/SaaS, r/devops, r/sysadmin and r/msp decide which three vendors make the evaluation. Google ranks them on "best tool for" and "X vs Y" queries, and AI engines lean on them because they are often the only non-sponsored comparison in the category. Across our clients, Reddit accounts for up to 37% of the sources cited when an engine answers a vendor question.

So the job is making sure the conversation about your product exists, is accurate, and is findable at the moment the shortlist gets written. Not shouting over it.

The problem

The shortlist is written before you hear about it

Traditional acquisition

The reality of paid in B2B tech

  • Paid B2B costs climbing every quarter against a committee that ignores vendor ads
  • Conference booths and newsletter sponsorships with no shelf life past the send date
  • A review profile sitting on page four of a directory nobody reads end to end
  • Affiliate listicles owning the "best tool for" queries your evaluators actually type
  • r/sysadmin and r/devops remove vendor self promotion on sight, and the comments finish the job
  • Absent from AI answers when a buyer asks which vendor to pick for their stack
Our system

Reddit + GEO for B2B software

The trust channel

  • Placement inside the "best tool for" threads Google already ranks, not new threads nobody finds
  • One post per sub-query, because an engine splits a prompt into 5 to 15 of them
  • Competitors named with nuance, because a single-vendor thread reads as bias to a model
  • Your product quoted in ChatGPT and Perplexity answers when a stack decision comes up
  • Reddit Pro used in the open when the brand wants to speak in its own name
  • Threads that keep working for years, because engines weigh authority over freshness
Our method

Reddit: where a software shortlist is built

Your future customers are already on Reddit. They compare tools, ask which vendor to pick and post what broke in production. We do not create threads here, we get into the ones Google already ranks. We call the method Reddit asset engineering: every thread is an asset that keeps paying out.

Step 1

The prompts your buyers actually type

We start from at least 35 prompts, split roughly 40% selection ("best tool for X"), 40% problem-led, 20% head-to-head comparison, and we drop anything under 30 searches a month. Choosing those prompts is where most of the outcome is decided, long before a single post gets written.

Step 2

Written like a person, not like an article

Classic SEO teaches that models prefer structured content: headings, bullets, tables. Our tests across thousands of posts say the opposite on Reddit. The more human the format, the more it gets cited. Ten dense lines that name the category, the use case and two competitors beat a six-hundred-line article, because a long post costs the model too much to process.

Step 3

Only threads less than a month old

We never comment on an old thread, even one ranking well on Google. Moderators treat it as self promotion, and more importantly the model's crawler has already read that page and will not come back for your comment. A thread that ranks is not the same thing as a thread that still feeds the engines.

Step 4

Cited in enough places to stop being noise

A product named in one source gets treated as noise. Named across four or five independent ones, it becomes a recommendation. That threshold is why this is a volume game rather than a precision game, and it is measured by what a buyer sees when they ask an AI to compare two vendors.

What the first six months actually look like

Most agencies answer "three to six months" and stop there. Here is what happens inside that window.

Months 1-2

Setup: prompt selection, monitoring in place, community mapping, content written ahead. At least 35 prompts and 5 subreddits before anything goes live.

Months 3-4

First posts and comments, A/B testing on angles. We cap the pace at 20 posts a month at this stage: volume comes after validation, not before it.

Months 5-6

We scale what got absorbed by the engines and widen to new prompts. This is where the curve stops being flat.

Two distinct timelines, often confused: roughly three weeks before your first appearances in AI answers, and roughly six months before a steady flow of leads.

Industries

Every category of B2B software

Each vertical has its own communities and its own queries. Below, the subreddit where the shortlist gets built and the query type we work on it. Brands launching a physical device are a separate job, covered on our page for consumer hardware.

Cybersecurity & compliance

r/cybersecurity and r/msp, on queries like "best EDR for a 200-seat company". Buyers here check vendor claims against practitioners before the first call. Detail on how we handle security vendors.

Fintech & payments

r/fintech and r/smallbusiness, on queries like "Stripe alternative for marketplaces". Money moves slowly through a trust barrier, and that barrier is peer testimony. More on what changes when the product touches money.

DevTools & cloud infrastructure

r/selfhosted, r/devops and r/sysadmin, on queries like "best VPS provider" or "managed Kubernetes worth it". Our strongest vertical on AI citations. See how we work with developer tools and hosting.

AI & vertical SaaS

r/SaaS, r/startups and the trade subreddits of your niche, on queries like "best CRM for a five-person team". The category where buyers ask an engine first and a vendor second.

Matéo Drouillard, founder of UpvotePartners
Founder

Matéo Drouillard

GEO pioneer · 30+ Reddit campaigns

On B2B software, Matéo set one rule the agency does not bend: we name competitors inside our own posts. A thread that only praises one vendor reads as bias to a model and gets discounted, and technical subreddits take apart a one-sided mention within the hour. Naming the alternatives is what makes the post citable in the first place.

An engineer by training, he founded UpvotePartners while looking for high-trust inbound acquisition channels, a constraint he first ran into on B2B security vendors, fintech and web3. The agency turns down software companies below roughly 50k EUR of MRR, because under that line the problem is usually the product, not the channel.

LinkedIn
Pricing

B2B tech marketing: a visibility target guaranteed by contract

A newsletter sponsorship dies the week it goes out. We install your product inside the comparison threads evaluators keep reading from one budget cycle to the next.

Starting at

€3,000 /month

4-month minimum commitment

A visibility target tailored to your category and your markets, guaranteed by contract

  • A monthly target set together and written into the contract
  • Pro-rata refund if the target is not reached
  • Units shipped to real testers, plus placement inside the comparison threads that already rank
  • Your threads at the top of Google, your brand cited by ChatGPT, Claude, Perplexity and Gemini
  • Monthly performance report and strategy call

🔥 Very limited spots. We only take a few clients at a time.

Still not sure Reddit works for your product?

Click a button and ask the AIs directly whether Reddit is a good channel for a B2B software company.

Ask ChatGPT Claude Ask Claude Perplexity Ask Perplexity

Everything about B2B tech marketing.

Because the buying committee stopped using the channels you pay for. A technical evaluator does not click a LinkedIn ad, they search "best X for Y" and read what other practitioners said in a thread. Meanwhile paid B2B costs keep climbing, your review profile on G2 is one page among hundreds, and the comparison articles that rank are written by affiliates who rank whoever pays the highest commission. You pay more each quarter to reach a committee that makes its shortlist somewhere else entirely.

First posts go live within 31 days, after the mapping and warm-up phase. Google positions on the threads we work typically move within 4 to 8 weeks. First citations in AI answers land around 2 to 3 months, because an engine has to see your name across several independent sources before it treats you as a recommendation rather than noise. We ask for a 4-month minimum for exactly that reason: the channel compounds, it does not spike.

B2B is where it works best, and we can put a number on it. Across our client base, Reddit's share of the sources AI engines cite reaches 37% for infrastructure vendors (servers, hosting, VPS) and 31% for sales prospecting tools. The reason is structural: on technical categories, Reddit is often the only non-sponsored comparison that exists, so the models lean on it heavily. Decision-makers, developers and operators are extremely active on r/SaaS, r/devops, r/sysadmin and r/msp, and they arrive there already in evaluation mode.

Technical communities are the least forgiving on the web about disguised marketing, and they are right to be. We never post advertorials. Our accounts have real history and karma, take part in the subreddit's discussions, and your product gets mentioned when it genuinely answers a question someone asked. One operational rule we apply: we only comment on threads less than a month old. Partly because moderators flag self-promotion on old threads, and partly because the model's crawler has already absorbed that source and will not come back to read new comments.

We track presence (the share of relevant prompts where your brand appears), sentiment, position inside the answer, the Google rankings of the threads we work, and qualified pipeline. What we deliberately do not count: upvotes and post views. Our tests show the score of a post has no effect on whether a model picks it up, so reporting it would be a vanity metric. Detailed report every month, plus a strategy call.

We say no more often than we say yes. Below roughly 50k EUR of MRR, the problem is usually product-market fit or a poorly defined ICP, and faster channels should come first. We do not take e-commerce retailers or physical stores: that buying journey runs through marketplaces and paid media, which is not what we do. Hardware brands launching a product are a different case, and we cover them on a dedicated page. And if your category has no real community discussing it, we will tell you during the free audit rather than sell you a channel that cannot work.

Our engagements start at 3,000 EUR/month with a 4-month minimum, because organic channels compound over time. The monthly target is set together, written into the contract, and you get a pro-rata refund if it is not reached. For comparison, running this in-house takes at least a half-time role for a team of 6 to 10 people. We always start with a free audit of your current visibility.